AI Engineer
Tasks
- Build and ship production LLM features
- Contribute to AI infrastructure and tooling best practices
- Create agent workflows and structured outputs
- Develop evaluation suites with synthetic datasets
- Develop prompt orchestration and tool calling
- Implement Retrieval-Augmented Generation (RAG) systems
- Implement regression tests and human review workflows
- Integrate LLMs with internal systems and APIs
- Prototype AI features and iterate from real world usage
- Run LLM as a judge evaluations
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | EHR Integration | Evaluation | Language Models | Large Language Models | Observability | Prompt engineering | Prompt orchestration) | Python | RAG | Regression testing | Retrieval-Augmented Generation | Structured Output | Synthetic data | Tool-Calling | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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